| SVM and KNN ensemble learning for traffic incident detection J Xiao Physica A: Statistical Mechanics and its Applications 517, 29-35, 2019 | 158 | 2019 |
| Traffic incident detection using multiple-kernel support vector machine J Xiao, Y Liu Transportation research record 2324 (1), 44-52, 2012 | 71 | 2012 |
| Speed estimation of traffic flow using multiple kernel support vector regression J Xiao, C Wei, Y Liu Physica A: Statistical Mechanics and its Applications 509, 989-997, 2018 | 41 | 2018 |
| Vehicle logo recognition by weighted multi‐class support vector machine ensembles based on sharpness histogram features J Xiao, W Xiang, Y Liu IET Image Processing 9 (7), 527-534, 2015 | 23 | 2015 |
| More robust and better: a multiple kernel support vector machine ensemble approach for traffic incident detection J Xiao, X Gao, QJ Kong, Y Liu Journal of Advanced Transportation 48 (7), 858-875, 2014 | 22 | 2014 |
| Traffic incident detection by multiple kernel support vector machine ensemble J Xiao, Y Liu 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 17 | 2012 |
| Traffic speed cloud maps: A new method for analyzing macroscopic traffic flow J Xiao, Z Wang Physica A: Statistical Mechanics and its Applications 508, 367-375, 2018 | 15 | 2018 |
| Traffic peak period detection from an image processing view J Xiao, H Li, X Wang, S Yuan Journal of Advanced Transportation 2018 (1), 2097932, 2018 | 11 | 2018 |
| Adaptive algorithm for corner detecting based on the degree of sharpness of the contour J Xiao, Z Xiang, B Wang, Y Liu Optical Engineering 50 (4), 047008-047008-10, 2011 | 9 | 2011 |
| An outlier detection algorithm based on the degree of sharpness and its applications on traffic big data preprocessing Z Wang, X Huang, Y Song, J Xiao 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA), 478-482, 2017 | 8 | 2017 |
| Traffic peak period detection using traffic index cloud maps Y Li, J Xiao Physica A: Statistical Mechanics and its Applications 553, 124277, 2020 | 7 | 2020 |
| Speed estimation based on multiple kernel learning C Wei, J Xiao, Y Liu 2012 12th International Conference on ITS Telecommunications, 24-28, 2012 | 6 | 2012 |
| Traffic index cloud maps for traffic flow analysis with big traffic data J Xiao, H Wang 2020 5th International Conference on Computer and Communication Systems …, 2020 | 2 | 2020 |
| An Adaptive Method for Generating the Traffic State Thresholds on Road Networks J Wu, W Zhu, J Xiao International Conference on Intelligent Computing, 15-26, 2023 | 1 | 2023 |
| A robust probabilistic collaborative representation based classification for multimodal biometrics J Zhang, H Liu, D Ding, J Xiao Ninth International Conference on Graphic and Image Processing (ICGIP 2017 …, 2018 | 1 | 2018 |
| Vehicle logo recognition using multi-level fusion model W Ming, J Xiao Ninth International Conference on Graphic and Image Processing (ICGIP 2017 …, 2018 | 1 | 2018 |
| FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detection X Lu, J Xiao arXiv preprint arXiv:2409.07839, 2024 | | 2024 |
| DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios Y Li, J Xiao arXiv preprint arXiv:2409.01093, 2024 | | 2024 |
| ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method B Long, W Zhu, J Xiao arXiv preprint arXiv:2407.11074, 2024 | | 2024 |
| Spatial-Temporal Retentive Heterogeneous Graph Convolutional Network for Traffic Flow Prediction W Zhu, B Long, J Xiao 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
Qing-Jie KongAssociate Professor, Institute of Automation, Chinese Academy of SciencesVerified email at ia.ac.cn
